Towards visual-search model observers for mass detection in breast tomosynthesis

Beverly A. Lau; Mini Das; Howard C. Gifford

doi:10.1117/12.2008503

21 March 2013 Towards visual-search model observers for mass detection in breast tomosynthesis

Beverly A. Lau, Mini Das, Howard C. Gifford

Proceedings Volume 8668, Medical Imaging 2013: Physics of Medical Imaging; 86680X (2013) https://doi.org/10.1117/12.2008503
Event: SPIE Medical Imaging, 2013, Lake Buena Vista (Orlando Area), Florida, United States

Abstract

We are investigating human-observer models that perform clinically realistic detection and localization tasks as a means of making reliable assessments of digital breast tomosynthesis images. The channelized non-prewhitening (CNPW) observer uses the background known exactly task for localization and detection. Visual-search observer models attempt to replicate the search patterns of trained radiologists. The visual-search observer described in this paper utilizes a two-phase approach, with an initial holistic search followed by directed analysis and decision making. Gradient template matching is used for the holistic search, and the CNPW observer is used for analysis and decision making. Spherical masses were embedded into anthropomorphic breast phantoms, and simulated projections were made using ray-tracing and a serial cascade model. A localization ROC study was performed on these images using the visual-search model observer and the CNPW observer. Observer performance from the two computer observers was compared to human observer performance. The visual-search observer was able to produce area under the LROC curve values similar to those from human observers; however, more research is needed to increase the robustness of the algorithm.

Citation Download Citation

Beverly A. Lau, Mini Das, and Howard C. Gifford "Towards visual-search model observers for mass detection in breast tomosynthesis", Proc. SPIE 8668, Medical Imaging 2013: Physics of Medical Imaging, 86680X (21 March 2013); https://doi.org/10.1117/12.2008503

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